Package: SynDI 0.1.0

Michael Kleinsasser

SynDI: Synthetic Data Integration

Regression inference for multiple populations by integrating summary-level data using stacked imputations. Gu, T., Taylor, J.M.G. and Mukherjee, B. (2021) A synthetic data integration framework to leverage external summary-level information from heterogeneous populations <arxiv:2106.06835>.

Authors:Tian Gu [aut], Jeremy M.G. Taylor [aut], Bhramar Mukherjee [aut], Michael Kleinsasser [cre]

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Peer review:

Bug tracker:https://github.com/umich-biostatistics/syndi/issues

On CRAN:

6 exports 1 stars 0.74 score 73 dependencies 7 scripts 296 downloads

Last updated 2 years agofrom:3a08bf51ea. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:%>%Create.SyntheticexpitInitial.estimatesResample.gamma.binaryYResample.gamma.continuousY

Dependencies:abindarmbackportsbitbit64bootbroomclicliprcodacodetoolscpp11crayondplyrevaluatefansiforcatsforeachgenericsglmnetgluehavenhighrhmsiteratorsjomoknitrlatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlmvtnormnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6randomForestRcppRcppEigenreadrrlangrpartsandwichshapeStackImputestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithrxfunyamlzoo